伊朗与缅甸对比
伊朗与缅甸:35 °C 以上天数
2014 年35 °C 以上天数:伊朗为 78.4 天,缅甸为 28.8 天(CMIP6 气候模型中位数模拟)。 2014 年伊朗的数值较高,高出 49.6 天,是缅甸的 2.72 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,伊朗的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年伊朗为 110.7 天,缅甸为 57 天。
逐年数据
每年天数 · CMIP6
| 年份 | 伊朗 | 缅甸 |
|---|---|---|
| 2014 | 78.4 | 28.8 |
| 2013 | 78.1 | 28 |
| 2012 | 76.8 | 27.5 |
| 2011 | 76.6 | 27.4 |
| 2010 | 73.4 | 27.9 |
| 2009 | 74.5 | 27.3 |
| 2008 | 73.5 | 27.2 |
| 2007 | 74 | 25.4 |
| 2006 | 74.7 | 26.8 |
| 2005 | 74.3 | 25 |
| 2004 | 73.2 | 28.3 |
| 2003 | 73 | 26.4 |
| 2002 | 74.9 | 27.4 |
| 2001 | 73.5 | 28.4 |
| 2000 | 74 | 26.6 |
| 1999 | 72.2 | 26.1 |
| 1998 | 70.8 | 26.4 |
| 1997 | 71 | 26.2 |
| 1996 | 70.2 | 24.7 |
| 1995 | 68.6 | 25.5 |
| 1994 | 66.8 | 24.3 |
| 1993 | 64.6 | 23.9 |
| 1992 | 63 | 20.5 |
| 1991 | 68.9 | 28.4 |
| 1990 | 70.1 | 26.3 |
| 1989 | 69.1 | 23.8 |
| 1988 | 68.4 | 23.9 |
| 1987 | 67.4 | 25.4 |
| 1986 | 66.9 | 26.6 |
| 1985 | 66.7 | 23.6 |
| 1984 | 66.4 | 25.8 |
| 1983 | 62 | 23.2 |
| 1982 | 65.7 | 24 |
| 1981 | 68.3 | 23.8 |
| 1980 | 67.1 | 23.5 |
| 1979 | 68.2 | 25.3 |
| 1978 | 65.1 | 23.4 |
| 1977 | 64.8 | 24.1 |
| 1976 | 65.3 | 25.6 |
| 1975 | 64.3 | 22.3 |
| 1974 | 63.7 | 24.1 |
| 1973 | 63.7 | 25.9 |
| 1972 | 64.7 | 23.1 |
| 1971 | 63 | 22.8 |
| 1970 | 62.2 | 24.2 |
| 1969 | 63.2 | 23.6 |
| 1968 | 63.7 | 23.4 |
| 1967 | 64.6 | 24.1 |
| 1966 | 64.1 | 23.1 |
| 1965 | 63.3 | 23.3 |
| 1964 | 62.2 | 21.7 |
| 1963 | 64.1 | 23.2 |
| 1962 | 65.5 | 24.4 |
| 1961 | 66.3 | 24.9 |
| 1960 | 65.8 | 26.2 |
| 1959 | 64.3 | 22.6 |
| 1958 | 66.2 | 25 |
| 1957 | 66 | 24.1 |
| 1956 | 63.8 | 25 |
| 1955 | 64.3 | 24.5 |
| 1954 | 65.4 | 25.3 |
| 1953 | 65 | 23.5 |
| 1952 | 66.4 | 26.1 |
| 1951 | 65.5 | 25 |
| 1950 | 66.6 | 23.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 伊朗 | 缅甸 |
|---|---|---|
| 2015 | 81.369.5–93.3 | 28.518.5–40 |
| 2016 | 81.970.3–93 | 27.717.3–38.7 |
| 2017 | 81.367.6–92.1 | 2818.9–38.5 |
| 2018 | 80.569–93.6 | 29.818.6–41.2 |
| 2019 | 82.370.5–92.9 | 28.218.2–41.3 |
| 2020 | 83.472.3–96.2 | 28.616.8–41.4 |
| 2021 | 82.971.4–96.3 | 29.719.4–40.8 |
| 2022 | 82.672–95.7 | 31.521.7–42.7 |
| 2023 | 86.571–98.9 | 30.319.9–41.6 |
| 2024 | 84.771.6–98.3 | 31.720.1–43.7 |
| 2025 | 86.574.4–98.2 | 32.721.3–44.8 |
| 2026 | 85.773.5–99.3 | 30.420.3–44.5 |
| 2027 | 87.175–98.9 | 30.620.4–44.2 |
| 2028 | 86.871.2–100 | 31.119–43 |
| 2029 | 85.773–97.6 | 32.720.9–46.4 |
| 2030 | 87.375.5–100.7 | 32.619.3–45 |
| 2031 | 88.674.7–102.5 | 32.721.3–45.2 |
| 2032 | 88.875.2–102.3 | 32.119.6–45.4 |
| 2033 | 9076–104.7 | 33.322–43.8 |
| 2034 | 92.777.2–106.2 | 31.322–43.5 |
| 2035 | 91.377.9–105.2 | 32.620.4–49 |
| 2036 | 90.277.4–103.2 | 33.322.7–46.1 |
| 2037 | 92.779.2–107.3 | 34.322.6–49.1 |
| 2038 | 92.778.9–104.8 | 35.824.4–49.9 |
| 2039 | 9278.6–105.8 | 34.920.9–49 |
| 2040 | 92.779.2–106.8 | 3419.2–51.2 |
| 2041 | 91.677.9–103.9 | 3724.8–51.9 |
| 2042 | 95.780.4–108.4 | 36.223–49.9 |
| 2043 | 93.178.7–107.6 | 34.522.6–47.7 |
| 2044 | 93.180–107.2 | 38.222.1–51.2 |
| 2045 | 96.981.4–111.2 | 35.924.2–50.7 |
| 2046 | 95.182.6–108.4 | 38.425.2–57.1 |
| 2047 | 97.584.1–111.8 | 38.824.1–56.1 |
| 2048 | 97.585–110.1 | 40.323.4–58.7 |
| 2049 | 97.882–111.6 | 40.625.2–58.1 |
| 2050 | 99.885.2–113.3 | 40.226.5–55.3 |
| 2051 | 99.883.5–112.1 | 41.726.7–56.8 |
| 2052 | 99.383.9–113.9 | 40.326.3–61.2 |
| 2053 | 9883.4–111.8 | 41.323.6–61.5 |
| 2054 | 9983.2–112.3 | 42.426.8–60.9 |
| 2055 | 102.486.9–116.3 | 41.428.5–61.9 |
| 2056 | 10086.2–114.2 | 42.726.5–63 |
| 2057 | 101.688.8–116.5 | 43.226.3–63.2 |
| 2058 | 101.885.4–117 | 44.526.8–63.6 |
| 2059 | 9985.4–111.1 | 43.729.1–65.3 |
| 2060 | 103.488.2–117.6 | 47.428.3–66 |
| 2061 | 103.487.5–116.8 | 46.729.5–64.5 |
| 2062 | 101.885.5–118.1 | 47.126.7–68.6 |
| 2063 | 104.489.9–118.3 | 46.929–66.4 |
| 2064 | 102.788.3–118.1 | 47.527.9–66.1 |
| 2065 | 103.888.1–119.2 | 42.427.5–62.4 |
| 2066 | 104.790.8–119.2 | 46.228.9–68.8 |
| 2067 | 106.888.7–121.8 | 4125.7–63.6 |
| 2068 | 10689.2–118.7 | 46.928–70.4 |
| 2069 | 105.889–120.4 | 48.729.3–70.1 |
| 2070 | 105.391.5–120.2 | 43.927.5–64.3 |
| 2071 | 10791.4–122.7 | 4926.2–71.9 |
| 2072 | 106.487–122.7 | 4730.6–71.4 |
| 2073 | 107.990.9–125 | 50.732.2–74 |
| 2074 | 106.691.1–121.4 | 4829.2–74 |
| 2075 | 106.492.1–121 | 49.126.1–68.9 |
| 2076 | 105.689.3–125.6 | 47.826.5–72.8 |
| 2077 | 107.389.9–121.9 | 51.832.9–76.1 |
| 2078 | 105.791.4–123.3 | 50.632.4–75.6 |
| 2079 | 106.290.6–122 | 50.730.5–77 |
| 2080 | 107.593.1–126.4 | 53.331.3–79.5 |
| 2081 | 107.991.3–125.2 | 5235.5–79.1 |
| 2082 | 109.294–124.3 | 52.532.5–76.8 |
| 2083 | 110.292.8–126.8 | 51.730.5–79.6 |
| 2084 | 109.895.4–124.3 | 52.329.5–76 |
| 2085 | 107.593.5–125.4 | 51.232.9–79.4 |
| 2086 | 109.693.4–125.6 | 52.632.5–80.1 |
| 2087 | 111.295.2–125.7 | 51.732.6–77.9 |
| 2088 | 112.494.1–127 | 50.727.2–88.8 |
| 2089 | 11196.6–126.2 | 52.731.4–86.3 |
| 2090 | 110.192.6–128 | 54.231.1–80.1 |
| 2091 | 110.694.3–127 | 53.235.4–80.1 |
| 2092 | 113.596.8–128.3 | 54.135.4–85.5 |
| 2093 | 111.896.7–124.7 | 5235.6–85 |
| 2094 | 112.595.8–128.9 | 54.434.9–80.7 |
| 2095 | 111.694.6–127 | 58.535.1–84.3 |
| 2096 | 112.595–128.5 | 52.832.3–84.1 |
| 2097 | 110.392.6–127.1 | 53.230.4–82.8 |
| 2098 | 111.595.6–128.1 | 55.334.4–83.8 |
| 2099 | 110.694–127.5 | 55.233.1–84.7 |
| 2100 | 110.793.4–130.1 | 5734.6–84 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,取全国平均。
- 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
- 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
- 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。
各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据
伊朗与缅甸对比
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军用
- 军费开支伊朗:2025 年为 GDP 的 2.09%缅甸:2024 年为 GDP 的 6.61%
- 军费开支(美元)伊朗:2025 年为 US$74.5亿缅甸:2024 年为 US$46.5亿
- 人均军费开支伊朗:2025 年为 US$80缅甸:2024 年为 US$92
- 军费占政府支出比例伊朗:2025 年为 11.2%(占政府支出)缅甸:2024 年为 32%(占政府支出)
- 武装部队人员伊朗:2020 年为 650,000 人缅甸:2020 年为 463,000 人
- 国家实力伊朗:2022 年为 1.64%(占全球实力)缅甸:2022 年为 0.53%(占全球实力)
- 武装部队占劳动力比例伊朗:2020 年为 2.35%(占劳动力)缅甸:2020 年为 1.94%(占劳动力)
- 武器进口伊朗:2024 年为 4200万 TIV缅甸:2025 年为 7000万 TIV